Poster: QueuePilot: Towards Adaptive Queue Scheduling via Live Digital Twins

Queue management policies strongly influence latency, loss, and fairness, yet production switches often rely on static configurations. Changing policies in the wild is risky, as experiments can disrupt SLAs and queue dynamics are hard to reproduce offline. We present QueuePilot, a digital twin for switch queues that enables safe, traffic-driven evaluation of scheduling and Active Queue Management (AQM) policies. Our prototype, built on two Tofino switches, clones live traffic into the twin, multiplexes it across multiple queueing strategies, and monitors real-time fine-grained metrics. Preliminary results show that QueuePilot can synchronize with the production queues and simultaneously evaluate alternative queuing policies, allowing precise real-time queue management without affecting live traffic.

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Publication Details

Published
2025-11-25
DOI
https://doi.org/10.1145/3765515.3771755
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
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article

Poster: QueuePilot: Towards Adaptive Queue Scheduling via Live Digital Twins

Fabricio Rodríguez, Chrysa Papagianni, Marcelo Caggiani Luizelli, Francisco Germano Vogt et al.
Advanced Queuing Theory Analysis
article

Poster: QueuePilot: Towards Adaptive Queue Scheduling via Live Digital Twins

Fabricio Rodríguez, Chrysa Papagianni, Marcelo Caggiani Luizelli, Francisco Germano Vogt, Christian Esteve Rothenberg, Victor H. S. Lopes, Zhiheng Yang
article en

Abstract

Queue management policies strongly influence latency, loss, and fairness, yet production switches often rely on static configurations. Changing policies in the wild is risky, as experiments can disrupt SLAs and queue dynamics are hard to reproduce offline. We present QueuePilot, a digital twin for switch queues that enables safe, traffic-driven evaluation of scheduling and Active Queue Management (AQM) policies. Our prototype, built on two Tofino switches, clones live traffic into the twin, multiplexes it across multiple queueing strategies, and monitors real-time fine-grained metrics. Preliminary results show that QueuePilot can synchronize with the production queues and simultaneously evaluate alternative queuing policies, allowing precise real-time queue management without affecting live traffic.

Universidade Estadual de Campinas (UNICAMP) (BR), Telefonica Research and Development (ES), Amsterdam University of the Arts (NL), Universidade Federal do Pampa (BR), University of Amsterdam (NL)
Openalex Percentile: Top 45%
Advanced Queuing Theory Analysis
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